Deep insight: Convolutional neural network and its applications for COVID-19 prognosis. - Nadeem Yousuf Khanday; Shabir Ahmad Sofi (Biomed. Signal Process. Control., 2021)

Taxonomy, state-of-the-art, challenges and applications of visual understanding: A review. - Nadeem Yousuf Khanday; Shabir Ahmad Sofi (Comput. Sci. Rev., 2021)

Fog Task Scheduling using Clustering based Randomized Round Robin. - Shahid Sultan Hajam; Shabir Ahmad Sofi (Scalable Comput. Pract. Exp., 2021)

Precision agriculture using IoT data analytics and machine learning. - Ravesa Akhter; Shabir Ahmad Sofi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Learned Gaussian ProtoNet for improved cross-domain few-shot classification and generalization. - Nadeem Yousuf Khanday; Shabir Ahmad Sofi (Neural Comput. Appl., 2023)

Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics. - Salka Rahman; Suraiya Parveen; Shabir Ahmad Sofi; Saniya Zahoor (Scalable Comput. Pract. Exp., 2023)

Covariance-based metric model for cross-domain few-shot classification and learning-to-generalization. - Nadeem Yousuf Khanday; Shabir Ahmad Sofi (Appl. Intell., 2023)

Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System. - Kalimullah Lone; Shabir Ahmad Sofi (SN Comput. Sci., 2023)

Resource management in fog computing using greedy and semi-greedy spider monkey optimization. - Shahid Sultan Hajam; Shabir Ahmad Sofi (Soft Comput., 2023)

e-TOALB: An efficient task offloading in IoT-fog networks. - Kalimullah Lone; Shabir Ahmad Sofi (Concurr. Comput. Pract. Exp., 2024)

Bug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation. - Mir Mohammad Yousuf; Shabir Ahmad Sofi (CoRR, 2025)